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--- |
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license: apache-2.0 |
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base_model: bert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: 16class_combo_111123_vthout_pp_full_tweet |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# 16class_combo_111123_vthout_pp_full_tweet |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1334 |
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- Accuracy: 0.9505 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.5839 | 1.0 | 694 | 0.6365 | 0.8174 | |
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| 0.7158 | 2.0 | 1388 | 0.4064 | 0.8861 | |
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| 0.4163 | 3.0 | 2082 | 0.2977 | 0.9100 | |
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| 0.3485 | 4.0 | 2776 | 0.2237 | 0.9295 | |
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| 0.2904 | 5.0 | 3470 | 0.1926 | 0.9357 | |
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| 0.223 | 6.0 | 4164 | 0.1550 | 0.9455 | |
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| 0.205 | 7.0 | 4858 | 0.1408 | 0.9483 | |
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| 0.1672 | 8.0 | 5552 | 0.1334 | 0.9505 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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